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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Time Series Classification On Digitshapes

평가 지표

Accuracy

NLL

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Accuracy	NLL	Paper Title	Repository
GP-Sig-LSTM	1.000	0.008	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
MALSTM-FCN	1	-	Multivariate LSTM-FCNs for Time Series Classification	-
GP-Sig-GRU	1.000	0.035	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
GP-KConv1D	1.000	0.035	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
GP-Sig	1.000	0.021	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
GP-LSTM	1.000	0.013	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
FCN-SNLST	1	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections	-
GP-GRU	0.812	0.727	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	-
SNLST	1	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections	-

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Time Series Classification On Digitshapes | SOTA | HyperAI초신경